{"id":"W4393147726","doi":"10.26434/chemrxiv-2024-vs39h","title":"Electrochemical Techniques for Uranium Extraction from Water","year":2024,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Cape Breton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Cape Breton University","keywords":"Uranium; Extraction (chemistry); Electrochemistry; Environmental science; Materials science; Metallurgy; Chemistry; Chromatography; Electrode","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007703949,0.0007814964,0.000834033,0.0009308885,0.0003452397,0.0009750127,0.0008274868,0.001138511,0.003175806],"category_scores_gemma":[0.000894853,0.0004101189,0.0005008806,0.001170922,0.0004086186,0.00114943,0.0006924807,0.001574669,0.003184938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000501378,"about_ca_system_score_gemma":0.0003300124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003433815,"about_ca_topic_score_gemma":0.000556447,"domain_scores_codex":[0.9988273,0.0001458039,0.00006028143,0.0002210418,0.0006910322,0.00005453067],"domain_scores_gemma":[0.9998114,0.00007311114,0.0000198581,0.000021134,0.00006657885,0.000007877928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007297983,0.00006760489,0.0002764266,0.003972044,0.00009070386,0.0003071484,0.0001690787,0.0008006144,0.7724309,0.01088592,0.007839187,0.2030873],"study_design_scores_gemma":[0.00002465942,0.0002408473,0.0008075558,0.0003325808,0.00005887068,0.001639496,0.00008375945,0.002563045,0.6438815,0.005586088,0.3447236,0.00005815386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03307978,0.5163877,0.3989671,0.003129347,0.002595785,0.000460708,0.001236915,0.001651293,0.04249142],"genre_scores_gemma":[0.1880933,0.4629683,0.3052491,0.001765185,0.001072702,0.0005395348,0.001707323,0.0003306481,0.03827397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003175806,"threshold_uncertainty_score":0.01062411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618049367175214,"score_gpt":0.2869680001419272,"score_spread":0.2707875064701751,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}